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We applied stringent quality control and filtering procedures to minimize technical variation.
This dataset was highly idealized because the relatively small number of replicates was carried out in such a way as to minimize technical variation.
A different sequence of antibody staining was used to minimize technical variation and duplicate blots were run to make sure that the AMC detection was not influenced by previous detections or multiple stripping steps.
Development of a single robust RNA isolation protocol for all grapevine tissues can minimize technical variation when comparing real-time RT-PCR experiments or other downstream applications such as microarray analyses.
To minimize technical variation, samples were randomly assigned to lanes, barcoded, and multiplexed at 12 24× per lane, and two to four technical replicates for each DO sample were sequenced.
While both approaches are well established for comparative proteomics as they minimize technical variation by mixing samples prior to analysis, there are a number of challenges hindering their development and implementation on a wide-scale basis.
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Furthermore, with count data, summing across technical replicates provided a superior method for minimizing technical variation compared with calculating an average value.
Therefore, it is important to minimize technical sources of variation with rigorous attention to detail in the standardization of processing pipelines, including automation and consideration of the use of microfluidics approaches which have the additional advantage of reduced reaction volumes (19).
In order to minimize technical error and to have an accurate CN estimation, raw qPCR data that showed a coefficient of variation (CV) > 1% between the duplicates were excluded from further analysis.
This helped minimize technical noise associated with oligodeoxyribonucleotides labeling efficiency.
This selection procedure was performed twice to minimize technical errors and false positives.
Related(20)
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